搜索资源列表
kmeans
- k-means源码(K均值聚类算法源码)
k_means
- K-MEANS算法: k-means 算法接受输入量 k ;然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。 k-means 算法的工作过程说明如下:首先从n个数据对象任意选择 k 个对象作为初始聚类中心;而对于所剩下其它对象,则根据它们与这些聚类中心的相似度(距离),分别将它们分配给与其最相似的(聚类中心所代表的)聚类;然后再
Salama
- 改进的Salama网络拓扑随机生成算法通用Matlab程序,在随机抛撒节点的时候使用了K均值聚类,网络节点分布均匀且疏密得当,边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density
clustering-algorithm
- 聚类算法有很多种,该程序是基于K-均值聚类算法,主要用于图像的分割-There are many clustering algorithms, the program is based on the K-means clustering algorithm, mainly used for image segmentation
K-Means_Text_Cluster
- K-Means文本聚类python实现,文本聚类算法,人名排除歧义-Text Cluster by the algorithm of K-means(include texts), discrimination of name ambiguity.
cskmeans
- K均值聚类用matlab实现源程序,可用于其他算法的结合与实现-K-means clustering using matlab
Twenliie
- 基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab -Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
K_means
- 用C语言实现的K均值聚类,用于数据挖掘数据间的聚类-K-means clustering C language for data mining data clustering
Classifier
- 一个半监督数据流集合分类器程序,其中每个单分类器采用k均值聚类算法。-A semi-supervised data flow classifier using k-means clustering algorithm.
Kmean
- K均值聚类的源代码,而且是采用VC++来完成,效果不错,欢迎大家下载-K-means clustering source code, and using VC++ to complete, good results are welcome to download
k
- k均值算法,数据挖掘里面比较基础的算法,实现类聚-k-means algorithm, which based on the comparison of data mining algorithms to achieve clustering
Kmeans
- C++控制台程序,实现的是K均值聚类算法,可供初学者参考。-C++ console program, realize that K-means clustering algorithm, for beginners reference.
KmeansCluster
- K均值聚类,自编的能够运行的K均值聚类程序,可用于聚类分析-K-means clustering,Self capable of running K-means clustering procedure that can be used cluster analysis
accord-machinelearning-clustering-(k-means)
- Accord.NET环境下的Kmeans聚类实例。(Kmeans clustering example under the Accord.NET environment.)
kmeansimg
- k-means图像聚类,可用灰度图像处理(K-means image clustering)
K均值算法程序
- K均值聚类算法,实现将数据分类,分为两类聚类(K means clustering algorithm to achieve data classification, divided into two categories of clusters)
MeanShiftCluster
- 该算法实现了均值漂移聚类算法,在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
PSO_Kmeans
- K-means聚类算法,基于PSO改的聚类算法,对初始点的选择进行优化(K-means clustering algorithm, based on PSO modified clustering algorithm, optimized the selection of the initial point.)
julie
- 基于K-means聚类算法的图像区域分割的程序实现(Cluster the function image.)
KMEANS
- C++编程实现数据挖掘中的聚类分析 使用K均值算法(C++ programming to achieve data mining clustering analysis using k-means algorithm)